Practical Nonparametric and Semiparametric Bayesian Statistics

Beschreibung

A compilation of original articles by Bayesian experts, this volume presents perspectives on recent developments on nonparametric and semiparametric methods in Bayesian statistics. The articles discuss how to conceptualize and develop Bayesian models using rich classes of nonparametric and semiparametric methods, how to use modern computational tools to summarize inferences, and how to apply these methodologies through the analysis of case studies.
Nonparametric and semiparametric statistical methods are attractive to researchers in a large number of fields, including pharmaceuticals, medical and public health centers, financial institutions, and environmental monitoring centers. This survey volume presents both the theoretical and applied aspects of these methods, and the range of articles from expository to original research will make it of interest to people with a wide range of statistical backgrounds.

Autor*in

Dipak D. Dey

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